The Fire INventory from NCAR (FINN) – a high resolution global model to estimate the emissions from open burning

Abstract

Abstract. The Fire INventory from NCAR version 1.0 (FINNv1) provides daily, 1 km resolution, global estimates of the trace gas and particle emissions from open burning of biomass, which includes wildfire, agricultural fires, and prescribed burning and does not include biofuel use and trash burning. Emission factors used in the calculations have been updated with recent data, particularly for the non-methane organic compounds (NMOC). The resulting global annual NMOC emission estimates are as much as a factor of 5 greater than some prior estimates. Chemical speciation profiles, necessary to allocate the total NMOC emission estimates to lumped species for use by chemical transport models, are provided for three widely used chemical mechanisms: SAPRC99, GEOS-CHEM, and MOZART-4. Using these profiles, FINNv1 also provides global estimates of key organic compounds, including formaldehyde and methanol. The uncertainty in the FINNv1 emission estimates are about a factor of two; but, the estimates agree closely with other global inventories of biomass burning emissions for CO, CO2, and other species with less variable emission factors. FINNv1 emission estimates have been developed specifically for modeling atmospheric chemistry and air quality in a consistent framework at scales from local to global. The product is unique because of the high temporal and spatial resolution, global coverage, and the number of species estimated. FINNv1 can be used for both hindcast and forecast or near-real time model applications and the results are being critically evaluated with models and observations whenever possible.

Long-term measurements of submicrometer aerosol chemistry at the Southern Great Plains (SGP) using an Aerosol Chemical Speciation Monitor (ACSM)

“…To better understand how smoke is transported to the SGP site, Fig. 8 compares the temporal variations of BBOA with variations in fire locations and daily organic carbon (OC) emission rates from the Fire INventory from NCAR (Wiedinmyer et al, 2011) as well as back trajectories. As shown in Fig.…”

Influence of springtime biomass burning in South Asia on regional ozone (O 3 ): A model based case study

“…It should be noted that uncertainty in the estimation of fire emissions could arise from missed fires causing underestimation, overestimating the size of detected small fire, misidentification of the land cover, inaccurate fuel loading, parameterizations of combustion completeness, and uncertainty in the emission factors . The reader can refer to Wiedinmyer et al (2011) for a detailed description on emissions estimation and limitations of the FINNv1. The fire emissions of trace species are released at the lowest model level in MOZART-4 (boundary conditions), and distributed vertically in WRF-Chem using the online plume-rise parameterization (Freitas et al, 2006).…”

Inter-comparison of different NOX emission inventories and associated variation in simulated surface ozone in Indian region

“…Simulations did not include aircraft or lightning NO X emissions. We have also provided daily varying emissions from biomass burning to the model via the Fire Inventory from NCAR version-1 (FINNv1) (Wiedinmyer et al, 2011). These emissions are distributed vertically in the model using online plume-rise parameterization (Freitas et al, 2006).…”